4 hours in, can still read it. Agree with your assessment, too.
4 hours in, can still read it. Agree with your assessment, too.
That’s a quite thorough debunk. Can you provide some sources for your claims?
It’s sort of a strange approach, because this will leave you with the workers who can’t find employment elsewhere.
A lot of them are using old, pre-AI tactics, too, going by the image.
Suppliers will charge whatever gives them the highest profit, and if their costs go up by x, said optimal pricepoint goes up by x/2, assuming a linear correlation between price and demand.
So, what do you not like about the Freetube’s UI and UX?
If you spent a year practicing IQ tests, you’ll score a genius IQ, but you won’t be better at anything else.
So you’re a sadist, but you try to convince yourself it’s okay because you only want to torture people you think deserve it. Of course, no one deserves to be tortured.
Yeah, it does. Perfect opsec is impossible even with encryption.
The easiest way to cheat on an IQ test is to simply practice. As far as I know, nobody has yet managed to design an IQ test where you can’t get better with practice.
Wild corn dogs are an outright plague where I live. When I was younger, me and my buddies would lay snares to catch to corn dogs. When we caught one, we’d roast it over a fire to make popcorn. Corn dog cutlets served with popcorn from the same corn dog is popular meal, especially among the less fortunate. Even though some of the affluent consider it the equivalent to eating rat meat. When me pa got me first rifle when I turned 14, I spent a few days just shooting corn dogs.
You need more training material to train a new AI. Once the AI is there, it produce as many pictures as you want. And you can get good results even with models that can be run locally on a regular computer.
That said, it’s misleading and inaccurate to state that neural networks are just statistics. In fact they are substantially more than just advanced statistics. Certainly statistics is a component—but so too is probability, calculus, network/graph theory, linear algebra, not to mention computer science to program, tune, and train and infer them. Information theory (hello, entropy) plays a part sometimes.
What I meant when I said that they are advanced statistics is that that is what they do. I know that a lot of disciplines play a part in creating them. I know it’s incredible complicated, it took me quite a while to wrap my head around what the back-propagation algorithm.
I also know that neural networks can do some really cool stuff. Recognizing tumors, for example. But it’s equally dangerous to overestimate them, so we have to be aware of their limitations.
Edit: All that being said, I do recognize that you have spent much more time learning about and working with neural networks than I have.
The thing with AI is, what the term today refers to most often is neural networks, which are really advanced statistics. And the thing is, to get more precise statistics, you need exponentially more data. And of course the marginal utility decays exponentially. So exponentially increasing marginal expenses meet exponentially decaying marginal utility.
In addition, this tactic will result in the best employees leaving first, because they’ll get employed somewhere else.
So, where does entitlement fit into all of this?
I do want to find the most relevant topics at the top of a community, though.
Send her to Azerbaijan.
Why London? Russia isn’t at war with the UK.